摘要
为了解决视频序列点匹配过程中的实时性和误匹配问题,本文提出了一种基于特征光流技术的快速角点匹配方法。该方法通过多分辨率策略,求出特征光流场概略运动矢量,然后依据匹配准则做相应特征点匹配处理,得到的精确运动矢量用作下一步的光流场计算。这样,既消除了误匹配点,又克服了光流计算的迭代负担。实验结果表明,算法正确匹配率达到98%以上,平均处理帧率24,能够满足系统实时性要求。
To solve the general point correspondeses problem in motion estimation, a new fast point matching algorithm based on feature optical flow is proposed. This algorithm calculates cursory motion vector of feature optical flow with multi-resolution tactic, and then do feature point matching by the matching criterion. The obtained precision motion vector is used in the next optical flow calculation. The algorithm can avoid wrong matching and solve the problem of operation load. The experiments show that this algorithm has the right matching rate 98% and process rate 24 frame/second on average.
出处
《光电工程》
EI
CAS
CSCD
北大核心
2006年第4期85-88,共4页
Opto-Electronic Engineering
基金
"十五"国防预研课题
关键词
运动估计
点匹配
特征光流
实时性
多分辨率
Motion estimation
Point matching
Feature optical flow
Real-time
Multi-resolution
